Writing and content decision

Smartcat

A capable engineer can build a useful Google-Docs-to-MT localization workflow and basic TM in ~1 week, but Smartcat’s large translator marketplace, enterprise SLAs, and compliance posture are durable differentiators that are expensive to replicate.

Visit website
Subscription$100/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $50
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Sync docs from Google Drive, run machine translation + apply translation memory/glossary, present segments for human review in an editor, store translation memory and revisions, push translated files back to Drive

What it still won’t have

  • Access to Smartcat Marketplace of vetted linguists and payment automation
  • Enterprise SLAs, SSO/2FA and on-site support
  • Prebuilt wide integrations catalogue and managed onboarding
  • Audit trail, advanced governance, and built-in Smartwords balance

What remains hard

  • Marketplace liquiditySmartcat has an integrated Marketplace with 500,000+ translators, editors, proofreaders, and agencies to fulfill any of your translation projects.
  • Compliance and regulationSOC II compliant organization
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a lightweight localization service in Node.js + Next.js with Postgres. Scope: (1) OAuth integration with Google Drive to watch a source folder and sync docs; (2) document parsing and segment extraction preserving formatting; (3) MT calls (configurable provider) with translation memory and glossary lookup stored in Postgres; (4) a minimal web editor to review/accept translations and a job queue to push translated files back to Drive; (5) REST API for creating projects and triggering syncs. Out of scope: marketplace of human translators, payment automation, enterprise SLA features, SSO. Include error handling, retries, logging, and unit/integration tests for sync, MT calls, TM lookups, and Drive push.
How we checked5 sources · 3/3 runs agreed · evidence score 29

How the score was reached

  • Pay verdict base20
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-6
  • Evidence score29

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page